Quang Pham

447 total citations
10 papers, 69 citations indexed

About

Quang Pham is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Quang Pham has authored 10 papers receiving a total of 69 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 1 paper in Information Systems. Recurrent topics in Quang Pham's work include Domain Adaptation and Few-Shot Learning (5 papers), Topic Modeling (4 papers) and Multimodal Machine Learning Applications (4 papers). Quang Pham is often cited by papers focused on Domain Adaptation and Few-Shot Learning (5 papers), Topic Modeling (4 papers) and Multimodal Machine Learning Applications (4 papers). Quang Pham collaborates with scholars based in Singapore, Vietnam and United States. Quang Pham's co-authors include Steven C. H. Hoi, Chenghao Liu, Binh T. Nguyen, Cuong V. Nguyen, Khiem Le, Doyen Sahoo, Daniel Sonntag, Huong Thi Thu Vu, Manh-Duy Nguyen and Cuong Viet Nguyen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Information Sciences and Medical Image Analysis.

In The Last Decade

Quang Pham

10 papers receiving 69 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Quang Pham Singapore	5	52	27	8	6	6	10	69
Dongang Wang Australia	5	21 0.4×	13 0.5×	5 0.6×	3 0.5×	10 1.7×	8	48
Shiv Shankar India	4	59 1.1×	48 1.8×	6 0.8×		3 0.5×	7	80
Chicheng Zhang United States	5	66 1.3×	10 0.4×	2 0.3×	2 0.3×	9 1.5×	16	82
Tri Dao United States	6	37 0.7×	20 0.7×	3 0.4×	1 0.2×	9 1.5×	12	74
Mohammad Al Sa’d United Kingdom	3	28 0.5×	26 1.0×	5 0.6×	1 0.2×	14 2.3×	4	58
Hongkun Yu United States	2	83 1.6×	18 0.7×	7 0.9×		6 1.0×	3	113
Chen-Yu Lee Taiwan	1	28 0.5×	28 1.0×	4 0.5×	1 0.2×	3 0.5×	2	55
Noé Casas Spain	5	46 0.9×	19 0.7×	3 0.4×	1 0.2×	5 0.8×	16	66
Rao Muhammad Umer Italy	4	24 0.5×	41 1.5×	10 1.3×		4 0.7×	7	73
David Ifeoluwa Adelani Germany	6	68 1.3×	15 0.6×	5 0.6×	2 0.3×		28	88

Countries citing papers authored by Quang Pham

Since Specialization

Citations

This map shows the geographic impact of Quang Pham's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Quang Pham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Quang Pham more than expected).

Fields of papers citing papers by Quang Pham

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Quang Pham. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Quang Pham. The network helps show where Quang Pham may publish in the future.

Co-authorship network of co-authors of Quang Pham

This figure shows the co-authorship network connecting the top 25 collaborators of Quang Pham. A scholar is included among the top collaborators of Quang Pham based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Quang Pham. Quang Pham is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Pham, Quang, et al.. (2024). Class-incremental Learning for Time Series: Benchmark and Evaluation. Qatar University QSpace (Qatar University). 5613–5624. 3 indexed citations

2.

Do, Truong Nhat Van, Quang Pham, Binh P. Nguyen, et al.. (2023). HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts. 5754–5765. 1 indexed citations

3.

Pham, Quang, Chenghao Liu, & Steven C. H. Hoi. (2023). Continual Learning, Fast and Slow. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(1). 134–149. 11 indexed citations

4.

Nguyen, Manh-Duy, et al.. (2022). TATL: Task agnostic transfer learning for skin attributes detection. Medical Image Analysis. 78. 102359–102359. 13 indexed citations

5.

Nguyen, Cuong V., et al.. (2022). Learning for amalgamation: A multi-source transfer learning framework for sentiment classification. Information Sciences. 590. 1–14. 13 indexed citations

6.

Pham, Quang, Chenghao Liu, Doyen Sahoo, & Steven C. H. Hoi. (2021). Contextual Transformation Networks for Online Continual Learning. Singapore Management University Institutional Knowledge (InK) (Singapore Management University). 13 indexed citations

7.

Pham, Quang, et al.. (2021). S-NLP at SemEval-2021 Task 5: An Analysis of Dual Networks for Sequence Tagging. 888–897. 4 indexed citations

8.

Pham, Quang, Chenghao Liu, & Steven C. H. Hoi. (2021). Online Continual Learning Under Domain Shift. 1 indexed citations

9.

Pham, Quang, et al.. (2021). Contrastive Learning for Natural Language-Based Vehicle Retrieval. 11. 4240–4247. 7 indexed citations

10.

Pham, Quang, et al.. (2019). Punctuation Prediction for Vietnamese Texts Using Conditional Random Fields. Singapore Management University Institutional Knowledge (InK) (Singapore Management University). 322–327. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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